About the Role :

The Java AI Lead will be responsible for leading the design, development, and maintenance of enterprise-grade applications, ensuring high standards of quality and performance.

Responsibilities :

Hands-on Software Engineering :

- Design, develop, test and maintain enterprise-grade applications using Java, J2EE, Spring Boot and related frameworks.

- Build secure, scalable and resilient microservices, REST APIs and event-driven components.

- Apply clean-code, SOLID, domain-driven design and twelve-factor application principles.

- Produce maintainable, testable and production-ready code with appropriate technical documentation.

- Perform code reviews, troubleshoot complex issues, optimise performance and reduce technical debt.

Modernisation Delivery :

- Analyse and reverse engineer legacy applications, interfaces, data flows and business rules.

- Translate legacy functionality into modern service boundaries, APIs and cloud-native implementation patterns.

- Contribute to solution design, decomposition, dependency analysis, migration planning and cutover readiness.

- Create reusable engineering accelerators, templates and reference implementations for modernisation squads.

GCP/AWS and GKE Engineering :

- Develop, containerise and deploy workloads on Google Kubernetes Engine within Google Cloud Platform.

- Work with Docker, Kubernetes manifests or Helm, configuration management, secrets, service accounts, ingress and workload identity.

- Contribute to CI/CD pipelines, automated quality gates, observability, logging, monitoring and production support.

- Engineer for reliability, scalability, fault tolerance, cost awareness and operational supportability.

Security, Risk and Compliance :

- Apply secure-by-design and privacy-by-design practices throughout the software development lifecycle.

- Follow OWASP guidance, secure coding standards, least-privilege access, secrets management, encryption and API security practices.

- Remediate vulnerabilities identified through SAST, DAST, software composition analysis, container scanning and penetration testing.

- Maintain traceability and evidence required for enterprise governance, audit, change management and regulatory compliance.

- Ensure AI-generated outputs are reviewed, validated and handled in accordance with data classification, intellectual property and responsible-AI policies.

Ownership and Collaboration :

- Work independently with minimal supervision while proactively escalating risks, decisions and dependencies.

- Collaborate with architects, product owners, domain SMEs, platform teams, security teams, testers and SRE/operations teams.

- Mentor engineers, promote engineering standards and contribute constructively to design and code reviews.

- Demonstrate accountability for committed outcomes, quality, timelines and production readiness.

Qualifications :

- Experience Range : 9-14 Years

- Location : Bangalore & Noida

Tech Stack : Java, J2EE, Spring Boot, Microservices, REST APIs, GCP, AWS, Docker, Kubernetes, CI/CD, OWASP